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ALTEN

Senior Scientific Data Architect, Data Modeler

ALTEN

. Analyze existing data landscapes, data flows, and scientific data sources in the life sciences sector .

Posted 10/7/2026full-timeRemote • GermanySeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Data Architecture and Data Modeling within the life sciences sector, with a strong focus on developing enterprise-wide data models and implementing FAIR Data Principles. Proficient in designing modern Data Platforms using Snowflake and AWS to support analytics and Data Science applications.

Highest-signal resume keywords
Data ArchitectureData ModelingSnowflakeAWSFAIR Data Principles

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data ModelingData ArchitectureSQLData GovernanceMetadata ManagementData ProductsData MeshCross-Domain Data ArchitecturesSemantic Data ModelsData Classifications
Soft Skills
CollaborationAnalytical ThinkingProblem Solving
Tools & Technologies
SnowflakeAWSData PlatformsData Science Applications
Industry Keywords
Life SciencesPharmaceuticalsBiotechnologyDiagnosticsMedical TechnologyScientific ResearchLaboratory InformaticsScientific InformaticsOntologiesAllotrope Framework

Tech Stack

Tools & technologies
AWSSQL

About the role

Key responsibilities & impact
  • Analyze existing data landscapes, data flows, and scientific data sources in the life sciences sector
  • Develop enterprise-wide data models for laboratory, research, and operational data, as well as central Data Products
  • Establish semantic data models, metadata standards, and data classifications
  • Introduce and advance FAIR Data Principles and scientific data standards
  • Design modern Data Platforms based on Snowflake and AWS
  • Develop cross-domain data architectures
  • Collaborate with laboratories, R&D, IT, and Data Science teams
  • Support analytics, AI, and Data Science applications through harmonized data structures

Requirements

What you’ll need
  • University degree in Computer Science, Data Science, Bioinformatics, Mathematics, Natural Sciences, or a comparable field
  • At least eight years of professional experience in Data Architecture, Data Modeling, or Enterprise Data Management
  • Experience in pharmaceuticals, biotechnology, diagnostics, medical technology, or a scientific research environment
  • Strong knowledge of modern data architectures, data platforms, and data modeling
  • Hands-on experience with Snowflake, AWS, and SQL
  • Knowledge of Data Mesh, Data Products, Metadata Management, Data Governance, and FAIR Data Principles
  • Ideally, experience in Scientific Informatics, Laboratory Informatics, semantic layers, ontologies, or the Allotrope Framework

Benefits

Comp & perks
  • Work-life balance with flexible working hours and remote work options
  • EGYM Wellpass
  • Company bicycle leasing
  • Discounted green mobility options
  • IT communities for knowledge sharing, professional development, and networking
  • Permanent employment contract
  • Corporate benefits
  • Team events